Published 1996
| Version v1
Book
Fuzzy algorithmic and knowledge-based decision support in nuclear engineering
Creators
Description
Fuzzy Set Theory was originally conceived as a means to model non- stochastic uncertainty. In the meantime it has matured to Fuzzy Technology and - together with Neural Nets and Genetic Algorithms - to Computational Intelligence. The goals have expanded considerably. In addition to uncertainty modeling, relaxation, compactification and meaning preserving reasoning have become major objectives. Nuclear engineering is one of the areas with a large potential for applications of Fuzzy Technologies, in which, however, the development is still at the beginning. This paper tries to survey applications and point to some potential applications which have not yet been realized
Additional details
Publishing Information
- Publisher
- World Scientific Publishing Co. Pte. Ltd.
- Imprint Place
- Singapore (Singapore)
- Imprint Title
- Fuzzy Logic and Intelligent Technologies in Nuclear Science
- Imprint Pagination
- 408 p.
- Journal Page Range
- p. 1-7
Conference
- Title
- 2. International FLINS Workshop
- Dates
- 25-27 Sep 1996
- Place
- Mol (Belgium)
INIS
- Country of Publication
- Singapore
- Country of Input or Organization
- Belgium
- INIS RN
- 31000188
- Subject category
- S99: GENERAL AND MISCELLANEOUS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ARTIFICIAL INTELLIGENCE; DECISION MAKING; EXPERT SYSTEMS; FORECASTING; FUZZY LOGIC; KNOWLEDGE BASE; MATHEMATICAL MODELS; NEURAL NETWORKS; PROBABILISTIC ESTIMATION; PROBABILITY; RELIABILITY; SET THEORY; STATISTICS
- Descriptors DEC
- MATHEMATICAL LOGIC; MATHEMATICS